Evidence map›Paper›PMID 26864740›Full record

ArticleGlobal health action2016

Interlinkage among cardio-metabolic disease markers in an urban poor setting in Nairobi, Kenya.

Tilahun Nigatu Haregu, Samuel Oti, Nicholas Ngomi, Christopher Khayeka-Wandabwa, Thaddaeus Egondi, Catherine Kyobutungi

Abstract read
In one paragraph

Article in Global health action, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mapping the Current and Future Noncommunicable Disease Burden in Kenya by Human Immunodeficiency Virus Status: A Modeling Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tilahun Nigatu HareguAfrican Population and Health Research Center, Nairobi, Kenya; tharegu@aphrc.org.
Samuel OtiAfrican Population and Health Research Center, Nairobi, Kenya.
Nicholas NgomiAfrican Population and Health Research Center, Nairobi, Kenya.
Christopher Khayeka-WandabwaAfrican Population and Health Research Center, Nairobi, Kenya.
Thaddaeus EgondiAfrican Population and Health Research Center, Nairobi, Kenya.
Catherine KyobutungiAfrican Population and Health Research Center, Nairobi, Kenya.

Funding

Wellcome Trust WT092775MA
6 · The paper itself

Abstract

introductionThe main cardio-metabolic diseases - mostly cardiovascular diseases such as stroke and ischemic heart disease - share common clinical markers such as raised blood pressure and blood glucose. The pathways of development of many of these conditions are also interlinked. In this regard, a higher level of co-occurrence of the main cardio-metabolic disease markers is expected. Evidence about the patterns of occurrence of cardio-metabolic markers and their interlinkage in the sub-Saharan African setting is inadequate.

objectiveThe goal of the study was to describe the interlinkage among common cardio-metabolic disease markers in an African setting.

designWe used data collected in a cross-sectional study from 5,190 study participants as part of cardiovascular disease risk assessment in the urban slums of Nairobi, Kenya. Five commonly used clinical markers of cardio-metabolic conditions were considered in this analysis. These markers were waist circumference, blood pressure, random blood glucose, total blood cholesterol, and triglyceride levels. Patterns of these markers were described using means, standard deviations, and proportions. The associations between the markers were determined using odds ratios.

resultsThe weighted prevalence of central obesity, hypertension, hyperglycemia, hypercholesterolemia, and hypertriglyceridemia were 12.3%, 7.0%, 2.5%, 10.3%, and 17.3%, respectively. Women had a higher prevalence of central obesity and hypercholesterolemia as compared to men. Blood glucose was strongly associated with central obesity, blood pressure, and triglyceride levels, whereas the association between blood glucose and total blood cholesterol was not statistically significant.

conclusionsThis study shows that most of the common cardio-metabolic markers are interlinked, suggesting a higher probability of comorbidity due to cardio-metabolic conditions and thus the need for integrated approaches.

Indexed as

AdultAgedBiomarkersBlood GlucoseBlood PressureCardiovascular DiseasesComorbidityCross-Sectional StudiesFemaleHumansHyperlipidemiasHypertensionKenyaMaleMiddle AgedObesityBiomarkersBlood Glucosecardio-metabolic markersinterlinkagesub-Saharan Africaurban

Identifiers

PMID26864740
PMCPMC4749862

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.